Biased v.s Unbiased practice

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What is an unbiased sample?

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An unbiased sample is a group that accurately represents the population being studied, where every individual has an equal chance of being selected.

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What is a biased sample?

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A biased sample is a group that does not accurately represent the population, often because certain individuals have a higher chance of being selected.

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Why is it important to have an unbiased sample in surveys?

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An unbiased sample ensures that the results of the survey are valid and can be generalized to the entire population.

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Example of an unbiased survey method.

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Randomly selecting participants from different grades in a school to ask about their favorite subjects.

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Example of a biased survey method.

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Surveying only the members of a sports team to find out the favorite sport of all students.

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True or False: Biased information can lead to incorrect conclusions.

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True

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What is the impact of biased information on decision-making?

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Biased information can lead to poor decisions because it does not reflect the true opinions or behaviors of the entire population.

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How can you identify a biased survey question?

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A biased survey question often leads respondents towards a particular answer or excludes certain groups.

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What is the difference between qualitative and quantitative data?

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Qualitative data describes qualities or characteristics, while quantitative data involves numerical values and measurements.

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What is sampling in research?

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Sampling is the process of selecting a subset of individuals from a population to estimate characteristics of the whole population.